The scale of the road network calls for a new approach

Слепые зоны

Fixed cameras cannot cover the full length of the network.

Высокие риски

Manual patrolling of the road surface puts lives and health at risk.

Низкая эффективность

Relying on manual labour and ground vehicles slows data collection to a crawl.

Медленное реагирование

Without end-to-end visual control, the response to incidents and emergencies is delayed.

The evolution of inspection:
towards full autonomy

An integrated
remote sensing system

How the system works

A single intelligent architecture for road monitoring: from the flight to the management decision.

Block 01: Data capture [Edge]

• UAVs (autonomous flights and docks)
• High-resolution cameras
• LiDAR and sensors
• Geodata and infrastructure

Block 02: Flight management [Network]

• Flight route planning
• An automated drone network (swarms)
• Remote control (cloud-edge-device)

Block 03: AI analytics [Core]

• Neural network defect recognition
• Analysis of the road situation
• Real-time event detection

Block 04: Platform and UI [Interface]

• A 2D/3D digital model of the road
• Dashboards and reports
• A management decision system

Specialised UAVs
for end-to-end monitoring

Multirotor UAVs

Pinpoint inspection.

Best for hovering, close inspection of local sections and emergency response.

Fixed-wing UAVs

Area coverage.

Ideal for linear patrolling of long road sections at high speed.

VTOL (vertical take-off)

Hybrid efficiency.

Long range combined with take-off and landing on confined sites.

Specialised drones

Complex architecture.

Protective cages and dedicated optics for inspecting bridge decks and piers from awkward angles.

A multi-level route network
and precise navigation

01

A multi-level grid

Digital routes from level I to level V for different jobs: pavement patrol, bridge inspection, emergency launch.

02

3D modelling of the environment

High-accuracy digital twins of roads and adjacent slopes for perfect positioning.

03

Safety testing

Virtual route simulation and collision testing — high-voltage lines included — before the real flight.

Data synchronisation: cloud – edge – device

Onboard computing (edge)

Neural networks run first on the UAV itself (GPU/NPU), so decisions are instant and need no round trip to the server.

Ultra-fast connectivity

Telemetry, high-definition video and AI metadata delivered without lag over the 4G/5G module.

Transformer and data bus

Reliable power and a seamless link between the compute boards and the flight controller.

The brain of the system: DarkNet53 neural analysis

Input image (raw)

⟶

Output image (processed)

Feature extraction

Deep real-time analysis of road surface textures and patterns.

Multi-scale fusion

The network analyses large macro objects and microscopic defects at the same time.

Adapting to speed

Small objects are recognised reliably even at high flight speed and in difficult light.

Automatic detection of defects and risks

Real-time AI classification of road problems from the visible spectrum, thermal imaging and LiDAR.

Road surface

[Cracks][Potholes (pitting)][Worn markings][Surface break-up]

Traffic and flow

[Congestion][Accidents][Traffic anomalies]

Infrastructure

[Bridge damage][Structural defects][Pier and deck problems]

Geo-risks

[Landslides][Slope failure][Erosion]

Road assets

[Damaged barriers][Faulty signs and boards][Unpermitted structures]

Emergencies

[Landslips / flooding][Foreign objects][People / animals on the road][Vegetation overgrowth]

Microscopic control of the road surface

Cracks

Automatic classification of longitudinal and transverse cracks at the earliest stages of failure.

Potholes

Precise location of potholes, with exact geo-coordinates passed to the repair crews.

Worn markings

Assessment of wear and detection of damaged markings, which are critical to traffic safety.

Control of obstacles, slopes and unplanned events

Foreign objects and spills

Instant capture of lost cargo, debris or fluids on the carriageway.

Condition of shoulders and slopes

Monitoring of failing reinforcement, drainage and retaining structures along the route.

Vegetation control

Detection of plants encroaching on shoulders, blocking visibility or breaking up slopes.

Unplanned events

Detection of pedestrians, animals or unauthorised machinery inside the hazardous zone.

A single dispatch centre:
full control from anywhere

Ultra-high-definition video feed

Real-time observation of the infrastructure with zero latency.

Remote optics control

Full control of PTZ cameras: pan, tilt, multiple zoom and infrared mode.

Announcement module

Voice commands can be broadcast remotely through the UAV loudspeaker to warn drivers or offenders.

Scalability: from a single inspection to a networked swarm

Single operation

Focused inspection. Deep, multi-angle analysis of complex individual structures: bridges, overpasses, difficult interchanges.

Group operation

A networked swarm. Synchronised control of many UAVs to cover dozens of kilometres of road network in the shortest possible time.

What the customer gets

Digitalisation and higher efficiency in road management. The platform makes inspection 100% digital by combining UAVs, AI and 3D modelling.